sampling in mixed research

1. SAMPLING IN MIXED RESEARCH
Presentedby
Rajeena K
M.ed

2. DEFINIION
Where a sample plan envisages the use of two
or more basic methods of sampling it is
termed mixed sampling. For example, in a
multistage sample, if the sampling units at
one stage are drawn at random and those at
another by a systematic method, the whole
process is “mixed

4. Goal qualitative
• Based on concept of sampling and meaning
• Individual perspective (ip)is context –specific
and is based experentially,not fixed
• Relation ship between researcher and
participant can shaped collected data

5. Types of sampling in mixed research
• Simple random sampling.
• Cluster random sampling
• Stratified random sampling.
• Systematic random sampling.
• Multi-stage random sampling

6. Simple random sampling
Simple random sampling (also referred to
sampling random sampling) is the purest and
the most straightforward
probability sampling strategy. It is also the
most popular method for choosing a sample
among population for a wide range of
purposes. In simple random sampling each
member of population is equally likely to be
chosen as part of the sample

7. stratified random sampling
it is a probability sampling method and a form
of random sampling in which the population is
divided into two or more groups (strata)
according to one or more common attributes.

8. Cluster Sampling
• .Cluster sampling (also known as one-stage
cluster sampling) is a technique in which
clusters of participants that represent the
population are identified and included in the
sample

9. systematic sampling
In system systematic sampling sampling (also
called systematic random sampling) every Nth
member of population is selected to be
included in the study.

10. multi-stage sampling
Multi-stage sampling (also known as multi-
stage cluster sampling) is a more complex
form of cluster sampling which contains two
or more stages in sample selection.

11. Advantages and Disadvantages
Advantage
• The analysis of quantitative
data and qualitative
• The collection of both open
and closed ended data in
response to research
question.
• .
Disadvantage
• resources to plan and this
type of research this time
consuming activity.
• It takes much more time
and
•
• Planning and implementing
method one beyond
drawing on the finding of
another always prove to be
difficult